遇见数据集

Warps

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Figshare2021-01-20 更新2026-04-08 收录
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Warps to and from the antsct-aging template and the MNI152 space.<br>The MNI template is the MNI Nonlinear 2009c Asym, which was retrieved from templateflow v1.4.1.<br>The warps are synthesized by registering 10 images to both templates, then performing a multi-channel registration using each of the 10 warped images in the MNI (fixed) and the antsct-aging (moving) space.<br>The images used were part of the MICCAI 2012 segmentation challenge, but any images could be used as long as they have good registration quality to both templates.

本数据集涵盖antsct-aging模板与MNI152空间之间的双向配准变换场。 所用MNI模板为MNI非线性2009c非对称模板(MNI Nonlinear 2009c Asym),该模板源自templateflow v1.4.1。 该变换场的合成流程如下:首先将10幅图像分别配准至上述两个模板空间,随后以MNI空间(固定参考空间)与antsct-aging空间(待配准图像空间)内的10幅配准后图像为输入,执行多通道配准。 本次所用图像源自MICCAI 2012分割挑战赛数据集,但只要图像能够在两个模板空间中获得良好配准质量,即可作为本数据集的可用输入图像。

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2021-01-20
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